A modern view on the management of patients with ulcerative colitis of mild and moderate severity in outpatient practice by A. M. Kharitidis, O. B. Shchukina

“…The extent of the lesion, in turn, may influence the choice of route of administration. …”
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The Use of LiDAR Terrain Data in Characterizing Surface Roughness and Microtopography by Kristen M. Brubaker, Wayne L. Myers, Patrick J. Drohan, Douglas A. Miller, Elizabeth W. Boyer

“…We conclude that resolution and initial point density may not be as important as the algorithm and methodology used to generate a LiDAR-derived DEM for roughness modeling purposes.…”
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Estimating net energy for activity for grazing beef cattle by integrating GPS tracking data, in-pasture weighing technology, and animal nutrition models by Logan Riley Vandermark, Jameson R. Brennan, Krista Ann Ehlert, Hector M. Menendez

“…As the rates of precision technology and virtual fencing are adopted, the applications of the algorithm developed in this study may be used to quantify these differences at larger landscape scales across western rangelands.…”
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Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome o... by Jakob Blaß, Benjamin Iffland, Philipp Herzog, Tim Kaiser, Thomas Elbert, Carolin Steuwe

“…The small sample size may restrict the generalizability of the results.…”
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Identification of Energy Metabolism-Related Subtypes and Diagnostic Biomarkers for Osteoarthritis by Integrating Bioinformatics and Machine Learning by Xu S, Ye J, Cai X

“…Evaluation using ROC and calibration curves demonstrated that these characteristic genes exhibit robust diagnostic performance. Multiple immune cells may be involved in the development of OA, and all characteristic genes may be associated with immune cells to varying degrees.Conclusion: In conclusion, NUP98 and RPIA have the potential to serve as diagnostic biomarkers for OA and may offer opportunities for therapeutic intervention in OA.Keywords: osteoarthritis, energy metabolism, diagnosis, immunology…”
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From complexity to clarity: development of CHM-FIEFP for predicting effective components in Chinese herbal formulas by using big data by Boyu Pan, Han Zhu, Jiaqi Yang, Liangjiao Wang, Zizhen Chen, Jian Ma, Bo Zhang, Zhanyu Pan, Guoguang Ying, Shao Li, Liren Liu

“…The algorithm is available at http://chm-fiefp.net/.…”
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Understanding Health-Related Discussions on Reddit: Development of a Topic Assignment Method and Exploratory Analysis by Garrett J Chan, Mark Fung, Jill Warrington, Sarah A Nowak

“…By iterating through multiple rounds of topic assignment, we improved the accuracy of the algorithm. Ultimately, this algorithm created 82 topics sorted into 17 broader medical disciplines. …”
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A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning by Ruoyu Sun, Yue Xi, Angelos Stefanidis, Zhengyong Jiang, Jionglong Su

“…Here, we find that training the DRL agent using the actor-critic algorithm and deep function approximators may lead to scenarios where the improvement in the DRL agent's risk-adjusted profitability is insignificant. …”
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Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer by Qiying Song, Shihe Liu, Di Wu, Aizhen Cai

“…Immune cell infiltration, immune checkpoint expression, Tumor Immune Dysfunction and Exclusion (TIDE) algorithm and drug sensitivity analysis were used to explore immunotherapy response. …”
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The structural pathway of interleukin 1 (IL-1) initiated signaling reveals mechanisms of oncogenic mutations and SNPs in inflammation and cancer. by Saliha Ece Acuner Ozbabacan, Attila Gursoy, Ruth Nussinov, Ozlem Keskin

“…By predicting the protein-protein complexes throughout the pathway via the PRISM algorithm, the structural coverage increases from 15% to 71%. …”
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Physically-constrained evapotranspiration models with machine learning parameterization outperform pure machine learning: Critical role of domain knowledge. by Yeonuk Kim, Monica Garcia, T Andrew Black, Mark S Johnson

“…These results imply that conventional parameterizations may require reevaluated to effectively integrate physical models with machine learning, as conventional choices may not be optimal for this new, hybrid, paradigm. …”
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Enhanced Synchrosqueezing Transform for Detecting Non-Traditional Flight Modes in High Angle of Attack Maneuvers by Seyed Amin Bagherzadeh, Hamed Mohammadkarimi, Mohammad Hossein Alizadeh

“…Due to nonlinear aerodynamics, “non-traditional” flight modes may appear in longitudinal and lateral/directional dynamics once an aircraft experiences a high angle of attack and rapid maneuvers. …”
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Two General Data Protection Regulation (GDPR) Compliant Approaches to Scoring Firm Financial Frailty in Business Litigation by A. E Rodriguez, Gazi Murat Duman, Ron Kuntze

“…These limitations constitute potential veto points which may be exploited by opposing counsel in court proceedings. …”
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Synthetic data in medicine: Legal and ethical considerations for patient profiling by Maja Nisevic, Dusko Milojevic, Daniela Spajic

“…Synthetic data is increasingly used in healthcare to facilitate privacy-preserving research, algorithm training, and patient profiling. By mimicking the statistical properties of real data without exposing identifiable information, synthetic data promises to resolve tensions between innovation and data protection. …”
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A Cell Component-Related Prognostic Signature for Head and Neck Squamous Cell Carcinoma Based on the Tumor Microenvironment by Siyu Li, Yajun Gu, Junguo Wang, Dengbin Ma, Xiaoyun Qian, Xia Gao

“…We found that patients in the low-risk group had a better outcome and activated immunity and may benefit more from the immune checkpoint inhibitor therapy. …”
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Complexity Quantification of Driving Scenarios with Dynamic Evolution Characteristics by Tianyue Liu, Cong Wang, Ziqiao Yin, Zhilong Mi, Xiya Xiong, Binghui Guo

“…Autonomous vehicle performance may vary significantly across scenarios with different dynamic changes. …”
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Angiogenic mRNA and microRNA gene expression signature predicts a novel subtype of serous ovarian cancer. by Stefan Bentink, Benjamin Haibe-Kains, Thomas Risch, Jian-Bing Fan, Michelle S Hirsch, Kristina Holton, Renee Rubio, Craig April, Jing Chen, Eliza Wickham-Garcia, Joyce Liu, Aedin Culhane, Ronny Drapkin, John Quackenbush, Ursula A Matulonis

“…The subtypes we have defined are of potential translational interest as they may be relevant for identifying patients who may benefit from the addition of anti-angiogenic therapies that are now being tested in clinical trials.…”
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Monte Carlo Simulation of the Effect of Melanin Concentration on Light–Tissue Interactions in Reflectance Pulse Oximetry by Raghda Al-Halawani, Meha Qassem, Panicos A. Kyriacou

“…The results indicate that a one-algorithm-fits-all calibration approach may be insufficient, and root mean square errors (RMSEs) of at least 0.3956%, 0.9132%, and 8.4111% for light, moderate, and dark skin are observed when compared to transmittance calibration algorithms. …”
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The robustness of popular multiclass machine learning models against poisoning attacks: Lessons and insights by Majdi Maabreh, Arwa Maabreh, Basheer Qolomany, Ala Al-Fuqaha

“…Data set poisoning is a severe problem that may lead to the corruption of machine learning models. …”
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Ensemble inference of unobserved infections in networks using partial observations. by Renquan Zhang, Jilei Tai, Sen Pei

“…The inference method may support decision-making under uncertainty and be adapted for use for other dynamical models in networks.…”
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